Evidence map›Paper›PMID 42823846›Full record

ArticleAging cell2026

Multimodal Ageing Biomarkers and Plasma Proteomic Signatures Associated With All-Cause Mortality.

Maira Pyrgioti, Ines Mesa Eguiagaray, Paul Redmond, Janie Corley, Mark E Bastin, Maria Valdés Hernández, Tom C Russ, Joanna M Wardlaw, Eilis Hannon, Ian J Deary and 5 more

Abstract read
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In one paragraph

Article in Aging cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Maira PyrgiotiLothian Birth Cohorts, Edinburgh Futures Institute, The University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0009-0008-5228-5913
Ines Mesa EguiagarayLothian Birth Cohorts, Edinburgh Futures Institute, The University of Edinburgh, Edinburgh, UK.
Paul RedmondLothian Birth Cohorts, Edinburgh Futures Institute, The University of Edinburgh, Edinburgh, UK.
Janie CorleyLothian Birth Cohorts, Edinburgh Futures Institute, The University of Edinburgh, Edinburgh, UK.
Mark E BastinLothian Birth Cohorts, Edinburgh Futures Institute, The University of Edinburgh, Edinburgh, UK.
Maria Valdés HernándezInstitute for Neuroscience and Cardiovascular Research, The University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0003-2771-6546
Tom C RussLothian Birth Cohorts, Edinburgh Futures Institute, The University of Edinburgh, Edinburgh, UK.
Joanna M WardlawInstitute for Neuroscience and Cardiovascular Research, The University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0002-9812-6642
Eilis HannonDepartment of Clinical and Biomedical Sciences, University of Exeter Medical School, University of Exeter, RILD Building, Royal Devon & Exeter Hospital, Exeter, Devon, UK.
Ian J DearyLothian Birth Cohorts, Edinburgh Futures Institute, The University of Edinburgh, Edinburgh, UK.
Keenan A WalkerLaboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-5989-9853
Elliot M Tucker-DrobDepartment of Psychology, The University of Texas, Austin, Texas, USA.
Simon R CoxLothian Birth Cohorts, Edinburgh Futures Institute, The University of Edinburgh, Edinburgh, UK.
Riccardo E MarioniInstitute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0003-4430-4260
Sarah E HarrisLothian Birth Cohorts, Edinburgh Futures Institute, The University of Edinburgh, Edinburgh, UK.

Funding

Longitudinal multi-omic biomarkers for neurocognitive decline prior to dementia onsetU01AG083829 · NIA · UNIVERSITY OF EDINBURGH · PI Sarah Elizabeth Harris · 2024 to 2026
$3.5M
Age UKBBSRC UKRI/BB/C001941/1BBSRC and ESRC BB/W008793/1Centre for Cognitive Ageing and Cognitive EpidemiologyMedical Research Council MR/R024065/1Milton Damerel TrustNIH HHS U01AG083829Row Fogo Charitable Trust BRO-D.FID3668413University of EdinburghUniversity of QueenslandWellcome Trust 218493/Z/19/ZWellcome Trust and Royal Society 221890/Z/20/ZWellcome Trust Institutional Strategic Support Fund
6 · The paper itself

Abstract

Ageing biomarkers quantify molecular, physiological or functional features that vary between individuals as they age and may improve prediction of health outcomes beyond chronological age. Recently, plasma proteomics have been used to estimate the biological ages of 11 human organs. Although accelerated organ ageing is associated with higher mortality risk, systematic benchmarking against established ageing biomarkers is lacking. Here, we pursued two complementary aims. First, we benchmarked proteomic organ clocks against multimodal ageing biomarkers for associations with 16-year all-cause mortality in the Lothian Birth Cohort 1936 (LBC1936) using Cox regression (861 participants; 444 deaths). Biomarkers included the epigenetic clock GrimAge2, telomere length, physical function (grip strength, walk time and respiratory function), neuroimaging and cognitive measures. Among proteomic clocks, accelerated liver (HR

Indexed as

AgingBiomarkersMortalityProteomicsFemaleHumansMaleBiomarkers

Identifiers

PMID42823846

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.